Docker Containerization Boot Camp

Learn the skills to simplify application deployment, IT workflow, version control, production support and more

Course Code : 1900
Docker Containerization Boot Camp 0 5 0

$2750

Overview

This three day Docker Containerization training class is a continuous hands-on workshop that discusses how to use Docker and the workloads for which it is best suited. The class begins by helping participants install Docker, and works through multiple real-world use cases to learn useful skills. The course is aimed to help participants be up and running with the technology as soon as possible, ensuring they understand how best to integrate Docker into the workflow for maximum productivity.

Schedule Classes

Delivery Format
Starting Date
Starting Time
Duration
Location

Live Classroom
Monday, 9 December 2019
8:30 AM - 4:30 PM EST
3 Days
Austin, TX

$2750 Add to cart

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Course Delivery

This course is available in the following formats:

Live Classroom
Duration: 3 days

Live Virtual Classroom
Duration: 3 days

What You'll learn

  • Rapidly deploy applications
  • Develop for nearly universal portability
  • Version control and re-use
  • Enjoy extremely light weight and minimal overhead
  • Vastly simplify maintenance

Outline

  • What can you use Docker for?
  • A logical segregation of duties
  • The relationship between Docker and SOA
  • How Docker fits into the development lifecycle
  • How Docker ensures consistency from development through UAT and staging, and on to production
  • Example use cases of Docker in the real world
  • Underlying technology
  • Docker client and server
  • Filesystem images
  • Registries
  • Containers
  • Networking
  • Getting set up on Windows
  • Getting set up on the Mac
  • Trying out our first container
  • Getting set up for production on Linux
  • Tweaking your production environment for best performance
  • User interfaces for Docker management
  • Container naming
  • Starting and stopping containers
  • Attaching to a container
  • Seeing what is happening in a container
  • Running a process inside a container
  • Daemonizing a container
  • Automatic container restarts
  • Deleting containers when we are finished with them
  • Docker images explained
  • How Docker images work
  • Getting a list of images
  • Searching for images on a repository
  • Pulling an image
  • Creating our own image
  • Specify an image in a Dockerfile
  • Building Dockerfile images
  • Using the build cache for templating
  • Viewing the image we have created
  • Launching a container using our new image
  • What is the Docker hub?
  • Pushing images to the Docker hub
  • Running your own internal Docker registry
  • Testing the internal registry
  • A single container static website
  • Setting up a container running Nginx
  • Launching our static site
  • Updating our static site from git or bitbucket
  • How Docker enables and supports CI
  • Getting set up for Jenkins and Docker
  • A basic Jenkins job
  • Multi-configuration jobs
  • Drone
  • Shippable
  • A container for our NodeJS application
  • A base image for our Redis containers
  • Creating our Redis back-end cluster
  • Capturing logs
  • Managing containers
  • Getting set up with Fig
  • Configuring the fig.yml file
  • How to use Fig
  • Console
  • Running a Console cluster
  • Managing your Docker hosts with Chef / Puppet / Ansible
  • Building containers using configuration management tools
  • Managing running containers with configuration management
  • Enabling collaboration with Docker
  • Using Docker to streamline workflow
  • Using Docker’s version control capabilities to enable experimentation and learning
  • Docker’s role in the overall IT value chain
  • Creating value and quality with Docker
  • Enabling smoother flow of work
  • Going back to work with a plan
  • What was not covered in this class
  • Q&A with the instructor
  • Goodbyes
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Prerequisites

Participants need to be familiar with the Linux basics, such as, package management, basic networking and simple shell scripting.

The ASPE Docker course will be run as a continuous lab, and you will be able to follow along with the course after meeting a few prerequisites. No assumption has been made about what platform you might be running for development, and the following software can be installed on Mac, Windows or Linux.

First you will need to install Oracle Virtualbox from https://www.virtualbox.org/wiki/Downloads

Next you will need to install Vagrant from https://www.vagrantup.com/downloads.html

You will also need a GIT and SSH client, these come standard on Mac OS-X.  If you are running Windows you can download from https://git-scm.com/download/win and on Linux you can install these with your distributions package manager, for example:

$ sudo apt-get install git-core openssh-client

Any additional requirements will be retrieved through the duration of the course.

Who Should Attend

The course is highly recommended for –

  • Azure DevOps engineers
  • DevOps engineers
  • DevOps solution engineers
  • Software engineers
  • OpenShift professionals
  • Linux system administrators

Interested in this course? Let’s connect!

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